Article Info

Published 13 Nov 2025

Volume / Issue 1 / Issue 7

Pages 78–86

DOI

10.64823/ijter.2507010

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Open Access Research Article

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Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making

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International Journal of Technology and Emerging Research 2025 , 1 (7) , 78–86

10.64823/ijter.2507010

Received: 07 Nov 2025 Published: 13 Nov 2025

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APA

gauri sale, & Dr. Sonal Ayare (2025). Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making. International Journal of Technology and Emerging Research, 1(7): 78–86. https://doi.org/10.64823/ijter.2507010

MLA

gauri sale, et al. "Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making." International Journal of Technology and Emerging Research, vol. 1, no. 7, 2025, pp. 78–86. https://doi.org/10.64823/ijter.2507010

Chicago

gauri sale, Dr. Sonal Ayare. "Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making." International Journal of Technology and Emerging Research 1, no. 7 (2025): 78–86. https://doi.org/10.64823/ijter.2507010

BibTeX

@article{gauri sale2025agentic, author = {gauri sale and Dr. Sonal Ayare}, title = {Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making}, journal = {International Journal of Technology and Emerging Research}, year = {2025}, volume = {1}, number = {7}, pages = {78–86}, doi = {10.64823/ijter.2507010}, }

Abstract

This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.

Keywords: machine learning, autonomous systems, Agentic Artificial Intelligence

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.